Data Platform & Database Developer
About The Position
The Data Platform & Database Developer develops and administers databases and data integrations that support critical business operations. The role focuses on maintaining reliable, secure, well-documented databases; improving data accuracy, accessibility, consistency, and quality; and building scalable, reusable data services for internal applications, reporting, and analytics. The position also contributes to modernizing legacy data structures, improving data governance, and ensuring data pipelines are monitored, recoverable, and efficient. The successful candidate is technically strong, analytical, resourceful, and collaborative. They take ownership of technical solutions, solve complex problems, work effectively with evolving technologies, and proactively improve data infrastructure, integration processes, and operational efficiency. A degree in a related field is beneficial but not required; equivalent professional experience and demonstrated technical expertise are considered.
Requirements
- Strong proficiency in SQL and relational database design, with hands-on experience managing production databases.
- Demonstrated experience in database development, administration, performance tuning, and troubleshooting.
- Experience designing and maintaining data integrations using APIs, ETL/ELT pipelines, scheduled jobs, or comparable technologies.
- Practical scripting skills for automating data movement, troubleshooting, and system integration.
- Strong knowledge of data modeling, indexing, query optimization, and database architecture.
- Experience implementing database security, access controls, backup and recovery procedures, and data-quality controls.
- Familiarity with data validation, reconciliation, error handling, and monitoring processes.
- Experience using source control, testing procedures, release management, and rollback strategies.
- Ability to troubleshoot complex technical issues across multiple systems and data environments.
- Strong documentation, analytical, and problem-solving skills.
- Excellent communication skills and ability to collaborate with technical and nontechnical stakeholders.
- Ability to work independently, manage priorities, and learn unfamiliar technologies.
- A degree in Computer Science, Information Technology, Data Engineering, or a related field is beneficial but not required; equivalent professional experience and demonstrated technical expertise will be considered.
Nice To Haves
- Experience working with enterprise resource planning (ERP) or warehouse management systems (WMS).
- Familiarity with NetSuite, IntraOne, or Celigo integration platforms.
- Experience with cloud-based data services, particularly Microsoft Azure.
- Knowledge of Power BI and preparing structured, reliable datasets for business intelligence reporting.
- Experience managing product information, master data, or enterprise data environments.
- Understanding of distribution, inventory management, or warehouse operations.
- Experience modernizing legacy databases, improving data governance, or implementing scalable data integration solutions.
Responsibilities
- Develop, administer, maintain, and troubleshoot production databases.
- Design and maintain data integrations using APIs, ETL/ELT pipelines, scheduled jobs, or comparable technologies.
- Automate data movement, troubleshooting, and system integration using scripting.
- Apply data modeling, indexing, query optimization, and database architecture practices.
- Implement database security, access controls, backup and recovery procedures, and data-quality controls.
- Perform data validation and reconciliation, and support error handling and monitoring processes.
- Use source control, testing procedures, release management, and rollback strategies.
- Troubleshoot complex technical issues across systems and data environments.
- Improve data accuracy, accessibility, consistency, and overall quality across systems.
- Reduce manual data reconciliation, duplicate records, and inefficient integration processes.
- Develop scalable, reusable data services for internal applications, reporting, and analytics.
- Modernize legacy data structures and improve long-term maintainability.
- Ensure critical data pipelines are monitored, recoverable, and operating efficiently.
- Document technical solutions and collaborate with technical and nontechnical stakeholders.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
